Citizens’ Acceptance of Data-Driven Political Campaigning: A 25-Country Cross-National Vignette Study

Rens Vliegenthart*, Jade Vrielink, Katharine Dommett, Rachel Gibson, Esmeralda Bon, Xiaotong Chu, Claes de Vreese, Sophie Lecheler, Jörg Matthes, Sophie Minihold, Lukas Otto, Marlis Stubenvoll, Sanne Kruikemeier

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

11 Citations (Scopus)

Abstract

This paper investigates how the acceptance of data-driven political campaigning depends on four different message characteristics. A vignette study was conducted in 25 countries with a total of 14,390 respondents who all evaluated multiple descriptions of political advertisements. Relying on multi-level models, we find that in particular the source and the issue of the message matters. Messages that are sent by a party the respondent likes and deal with a political issue the respondent considers important are rated more acceptable. Furthermore, targeting based on general characteristics instead of individual ones is considered more acceptable, as is a general call to participate in the upcoming elections instead of a specific call to vote for a certain party. Effects differ across regulatory contexts, with the negative impact of both individual targeting and a specific call to vote for a certain party being in countries that have higher levels of legislative regulation.

Original languageEnglish
Pages (from-to)1101-1119
JournalSocial Science Computer Review
Volume42
Issue number5
Early online date30 Apr 2024
DOIs
Publication statusPublished - 2024

Keywords

  • acceptance
  • cross-national comparison
  • data driven campaigns
  • data-driven campaigning
  • elections
  • microtargeting
  • privacy
  • privacy regulations
  • vignette study
  • vignettes

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